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TST: promote warnings to errors #678

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d8395e1
DEP: drop support for Python 3.8, require 3.9 or newer
neutrinoceros Aug 1, 2025
8456e6f
DEP: drop support for Python 3.9, require 3.10 or newer
neutrinoceros Aug 2, 2025
35b4111
TST: promote warnings to errors
neutrinoceros Aug 6, 2025
9b173c7
RFC: avoid a deprecation warning from numpy (implicit conversion from…
neutrinoceros Aug 6, 2025
40a20c0
DEP: unpin pytest-cov
neutrinoceros Aug 6, 2025
c4f3d23
ignore self-triggered ImportWarnings
neutrinoceros Aug 6, 2025
1ba4200
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neutrinoceros Aug 6, 2025
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4 changes: 3 additions & 1 deletion .github/workflows/ci.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -12,7 +12,9 @@ jobs:
strategy:
fail-fast: false
matrix:
python-version: ["3.8", "3.9", "3.10", "3.11"]
python-version:
- "3.10"
- "3.11"
group: [1, 2, 3]

steps:
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2 changes: 1 addition & 1 deletion README.rst
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Expand Up @@ -49,7 +49,7 @@ Introduction
------------

VIP is a python package for high-contrast imaging of exoplanets and circumstellar disks.
VIP is compatible with Python 3.8, 3.9, 3.10 and 3.11 (Python 2 compatibility dropped with VIP 0.9.9, and Python 3.7 compatibility dropped with VIP 1.4.3).
VIP is compatible with Python 3.10 and 3.11 (Python 2 compatibility dropped with VIP 0.9.9, and Python 3.7 compatibility dropped with VIP 1.4.3).

The goal of VIP is to integrate open-source, efficient, easy-to-use and
well-documented implementations of high-contrast image processing algorithms to
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2 changes: 1 addition & 1 deletion docs/source/index.rst
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Expand Up @@ -11,7 +11,7 @@ What is VIP?
------------
``VIP`` stands for Vortex Image Processing.
It is a python package for high-contrast imaging of exoplanets and circumstellar disks.
VIP is compatible with Python 3.8, 3.9, 3.10 and 3.11 (Python 2 compatibility dropped with VIP 0.9.9, and Python 3.7 compatibility dropped with VIP 1.4.3).
VIP is compatible with Python 3.10 and 3.11 (Python 2 compatibility dropped with VIP 0.9.9, and Python 3.7 compatibility dropped with VIP 1.4.3).

The goal of VIP is to integrate open-source, efficient, easy-to-use and
well-documented implementations of high-contrast image processing algorithms to
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11 changes: 8 additions & 3 deletions pyproject.toml
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Expand Up @@ -13,15 +13,13 @@ authors = [
{ name = "Carlos Alberto Gomez Gonzalez" },
{ name = "Valentin Christiaens", email = "valentin.christiaens@uliege.be" },
]
requires-python = ">=3.8"
requires-python = ">=3.10"
classifiers = [
"Intended Audience :: Science/Research",
"Natural Language :: English",
"Operating System :: MacOS :: MacOS X",
"Operating System :: POSIX :: Linux",
"Programming Language :: Python :: 3 :: Only",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Topic :: Scientific/Engineering :: Astronomy",
Expand All @@ -31,3 +29,10 @@ urls.Homepage = "https://github.com/vortex-exoplanet/VIP"
[tool.setuptools]
zip-safe = false
packages.find = { namespaces = false }

[tool.pytest.ini_options]
filterwarnings = [
"error",
'ignore::ImportWarning',
'ignore:The fit may be unsuccessful:UserWarning', # noisy astropy warnings
]
2 changes: 1 addition & 1 deletion requirements-dev.txt
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Expand Up @@ -5,7 +5,7 @@ myst-nb
myst-parser
pandoc
pytest
pytest-cov ~=2.6.0
pytest-cov >=2.6.0
pytest-split
flake8
flake8-bandit
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2 changes: 0 additions & 2 deletions vip_hci/fm/negfc_mcmc.py
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Expand Up @@ -65,8 +65,6 @@
from .negfc_fmerit import get_values_optimize, get_mu_and_sigma
from .utils_mcmc import gelman_rubin, autocorr_test
from .utils_negfc import find_nearest
import warnings
warnings.filterwarnings("ignore", category=DeprecationWarning)


def lnprior(param, bounds, force_rPA=False):
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2 changes: 1 addition & 1 deletion vip_hci/fm/negfc_simplex.py
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Expand Up @@ -792,7 +792,7 @@ def firstguess(cube, angs, psfn, planets_xy_coord, ncomp=1, fwhm=4,
verbose=False)
if force_rPA:
r_0[i_planet], theta_0[i_planet] = (r_pre, theta_pre)
f_0[i_planet] = res.x[:]
f_0[i_planet] = res.x.item()
else:
r_0[i_planet] = res.x[0]
theta_0[i_planet] = res.x[1]
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2 changes: 0 additions & 2 deletions vip_hci/fm/utils_mcmc.py
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Expand Up @@ -11,8 +11,6 @@
'gelman_rubin_from_chain']

import numpy as np
import warnings
warnings.filterwarnings("ignore", category=DeprecationWarning)


def gelman_rubin(x):
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